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New Saudi Beach Cleaning Robot Unveiled By Red Sea Global

The new machine will ensure the pristine shores of the Red Sea and Amaala destinations remain world-class destinations for luxury travel.

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new saudi beach cleaning robot unveiled by red sea global
Red Sea Global

Red Sea Global, the developer behind The Red Sea and Amaala destinations in Saudi Arabia, has introduced an innovative robot to ensure the area’s stunning beaches remain free from waste and debris.

This cutting-edge electric robot has been designed to not only enhance the aesthetic appeal of the sandy shores but also to combat the persistent issue of plastic pollution and other forms of waste. One of its remarkable features is its ability to detect objects as small as a single cubic centimeter.

The robot’s exceptional maneuverability enables it to navigate effortlessly around obstacles such as rocks and beach furniture. The machine also boasts an impressive 3,000 square meters of coverage within just one hour.

This newly introduced robot will commence operations at the Red Sea destination, playing a pivotal role in preserving the natural beauty of this world-class location and its exquisite resorts. This achievement underscores Red Sea Global’s dedication to safeguarding its beaches for visitors while also ensuring that the resort’s opulent travel experiences are in line with sustainable environmental practices.

Also Read: NEOM Unveils Zardun, A High-End Ecotourism Retreat

The Red Sea destination made its debut in 2023 with the opening of two luxury hotels. And since September, the Red Sea International Airport, the primary gateway to this extraordinary destination, has been receiving regular flights.

By the time of its completion in 2030, the Red Sea megaproject is set to feature an impressive array of 50 resorts, comprising a total of 8,000 hotel units and over 1,000 residential units spread across 22 islands and six mainland sites. Additionally, the destination will offer luxurious marinas, world-class golf courses, and an extensive range of entertainment and recreational facilities.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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